What are the responsibilities and job description for the Python Developer position at PTR Global?
Job Title: Python Full stack developer / Risk / AI
Location: Boston, MA (Hybrid – 3 days onsite)
Employment Type: W2 Contract (Contract-to-Hire)
Duration: Long Term
Interview Process: 2–3 rounds (All onsite in Boston)
About the Role:
Our client, a leading investment and insurance-focused financial services firm, is seeking a Principal Front Office Engineer to join their Risk team. This is a hands-on technical leadership role where you will design, build, and deliver applications that enhance risk analytics, reporting, and AI-driven workflows.
You will work closely with Risk Directors, analysts, and investment teams, focusing on building scalable systems that power risk infrastructure and decision-ready insights. This role is ideal for a senior/lead engineer who wants to remain highly technical while driving architecture and innovation.
Key Responsibilities:
- Design and develop small-scale applications, POCs, and AI-enabled tools for risk analytics
- Build scalable systems to support risk infrastructure, reporting, and data workflows
- Collaborate with risk analysts and investment teams to translate requirements into technical solutions
- Develop and optimize Python-based data processing systems for large financial datasets
- Implement data visualization and front-end solutions using tools like Plotly or Dash
- Rapidly iterate, prototype, and deliver production-ready solutions
- Maintain and enhance SQL-based data pipelines and reporting systems
Required Skills:
- 5 years of hands-on development experience with Python
- Strong expertise in SQL and data manipulation
- Experience with Python libraries: pandas, NumPy
- Experience with Agentic Programming tools (GitHub Copilot, Claude)
- Full-stack development experience (backend frontend/UX)
- Experience with Git/version control
- Strong problem-solving skills and ability to work independently
- Excellent communication skills with both technical and business stakeholders
Preferred Skills:
- Experience with data visualization tools (Plotly, Dash)
- Familiarity with financial data platforms (Bloomberg, FactSet, Aladdin, eFront, Moody’s)
- Experience with statistical/time-series analysis (SciPy, Scikit-learn, cvxpy)
- Understanding of financial markets and investment risk domain
- Experience building AI/ML-driven tools and workflows
Ideal Candidate:
- Hands-on software architect and builder
- Strong ownership mindset; proactive and self-driven
- Thrives in fast-paced, high-impact environments
- Able to design, iterate, and deliver solutions end-to-end
- Comfortable working directly with senior stakeholders
Important Notes:
- Must be local to Boston, MA and able to work onsite 3 days/week
- Candidates actively involved in external trading or hedge fund activities will not be considered
- Strong focus on Python, SQL, Risk domain, and AI tools